文件名称:NeuralNetworkOptimizationBasedonGeneticAlgorithms.
- 所属分类：
- 人工智能/神经网络/遗传算法
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- [PDF]
- 上传时间：
- 2012-11-26
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- 269kb
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- 0次
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- dengx*****
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：遗传算法是一种典型的进化算法。文中分析了遗传算法的特点和神经网络的特点，从而得出了把两种算法结合
起来进行应用的思想。运用理论对比的方法，阐明了用遗传算法进行神经网络性能优化的原因，并得出结论，认为用遗传
算法进行神经网络性能优化促使了神经网络更进一步的应用。阐述了遗传算法优化神经网络的两种主要方法，论述了遗
传算法和神经网络的发展现状和将来的研究动向。-: Genetic algorithm is a typical evolutionary algorithm. This paper analyzes the characteristics of genetic algorithms and neural network features, to arrive at a combination of the two algorithms applied thinking. Method of comparing the use of theory to clarify the genetic algorithm using neural network performance optimization reasons, and concluded that the neural network using genetic algorithm neural network performance optimization to promote further applications. Genetic algorithm described two main methods of neural networks, discusses the genetic algorithm and neural network development status and future research trends.
起来进行应用的思想。运用理论对比的方法，阐明了用遗传算法进行神经网络性能优化的原因，并得出结论，认为用遗传
算法进行神经网络性能优化促使了神经网络更进一步的应用。阐述了遗传算法优化神经网络的两种主要方法，论述了遗
传算法和神经网络的发展现状和将来的研究动向。-: Genetic algorithm is a typical evolutionary algorithm. This paper analyzes the characteristics of genetic algorithms and neural network features, to arrive at a combination of the two algorithms applied thinking. Method of comparing the use of theory to clarify the genetic algorithm using neural network performance optimization reasons, and concluded that the neural network using genetic algorithm neural network performance optimization to promote further applications. Genetic algorithm described two main methods of neural networks, discusses the genetic algorithm and neural network development status and future research trends.
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